diff --git a/models.py b/models.py
index 5df79dc7..fb87a649 100755
--- a/models.py
+++ b/models.py
@@ -82,7 +82,7 @@ def create_modules(module_defs, img_size, arc):
                 elif arc == 'uCE':  # unified CE (1 background + 80 classes)
                     b = [7, 0]  # obj, cls
                 elif arc == 'uBCE':  # unified BCE (80 classes)
-                    b = [0, -4]  # obj, cls
+                    b = [0, -3.5]  # obj, cls
 
                 bias = module_list[-1][0].bias.view(len(mask), -1)  # 255 to 3x85
                 bias[:, 4] += b[0]  # obj
diff --git a/utils/utils.py b/utils/utils.py
index ef175c10..d94d91ab 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -322,8 +322,8 @@ def compute_loss(p, targets, model):  # predictions, targets, model
     # Define criteria
     BCEcls = nn.BCEWithLogitsLoss(pos_weight=ft([h['cls_pw']]))
     BCEobj = nn.BCEWithLogitsLoss(pos_weight=ft([h['obj_pw']]))
-    FBCE = FocalLoss(nn.BCEWithLogitsLoss())
-    FCE = FocalLoss(nn.CrossEntropyLoss())  # weight=model.class_weights
+    FBCE = nn.BCEWithLogitsLoss()
+    FCE = nn.CrossEntropyLoss()  # weight=model.class_weights
 
     # Compute losses
     for i, pi in enumerate(p):  # layer index, layer predictions